IBM IBM Db2 to ThoughtSpot Integration
AI-first ETL from IBM IBM Db2 into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into ThoughtSpot
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
IBM IBM Db2: IBM relational database for transactional workloads.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How IBM IBM Db2 entities map to ThoughtSpot
| IBM IBM Db2 entity | ThoughtSpot object | Notes |
|---|---|---|
| tables | db2_tables | id PK · custom fields → flattened columns for searchable fields |
| rows | db2_rows | id PK · linked to db2_tables |
| schemas | db2_schemas | id PK · linked to db2_tables |
| indexes | db2_indexes | id PK · linked to db2_tables |
FAQ
How does Datrise handle IBM IBM Db2's custom fields in ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the IBM IBM Db2 to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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